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Reducing False Positives In Name Screening with Biometric AML
One of the primary objectives of Biometric AML is to enhance the capability of name-screening. It accomplishes this by incorporating name-screening with image matching to ultimately reduce the occurrence of false positives.
Introduction
Biometrics, in its traditional sense, encompasses various identity markers, including irises and fingerprints. In the context of Biometric Anti-Money Laundering with a focus on name-screening and image-matching, it involves comparing the name of the individual in question against the list of designated and sanctioned persons. Additionally, image-matching serves to decrease the probability of a person becoming ensnared in legal issues simply because they happen to share the same name as one of the designated individuals.
Purpose
One of the primary objectives of Biometric AML is to enhance the capability of name-screening. It accomplishes this by incorporating name-screening with image matching to ultimately reduce the occurrence of false positives. False positives, in this context, refer to instances where a system wrongly identifies a person as a match to a designated individual.
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